Bayesian Statistics

Move beyond classical statistics and discover a different way of thinking about data.

This course introduces the Bayesian approach to statistical modeling, from fundamental principles to advanced applications. Starting with the Bayesian way of thinking, participants will work with linear and generalized linear regression models, explore hierarchical models, and apply more advanced modeling techniques through real world case studies.

By the end of the course, participants will understand the Bayesian idea of statistical modeling, know how to apply Bayesian models to different data problems, and be able to correctly interpret Bayesian parameter estimates.